anytime algorithms for learning anytime classifiers saher ... - Technion

Technion - Computer Science Department - Ph.D. Thesis PHD-2008-12 - 2008
Yang, Y., Webb, G., Korb, K., & Ting, K. (2007). Classifying under computational
resource constraints: anytime classification using probabilistic estimators.
Machine Learning, 69, 35–53.
Zadrozny, B., Langford, J., & Abe, N. (2003). Cost-sensitive learning by costproportionate
example weighting. In Proceedings of the 3rd IEEE International
Conference on Data Mining (ICDM-2003), Melbourne, Florida,
USA.
Zhu, X., Wu, X., Khoshgoftaar, T., & Yong, S. (2007). An empirical study of the
noise impact on cost-sensitive learning. In Proceedings of the 20th International
Joint Conference on Artificial Intelligence (IJCAI-2007), Hyderabad,
India.
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